Machine Learning Engineer-Graduate Intern

Machine Learning Engineer-Graduate Intern

Screenovate

Roles and Responsibilities:

  • Possess good problem solving skills and the willingness to work in a dynamic and multi-functional team.
  • Experiment with various approaches to ensure high quality data fusion
  • Research Trends and create proof of concepts and prototypes new ideas, support strategic product enhancements to ensure product relevancy.
  • Present, report and publish related technical topics.
  • Excellent communication skills to both technical and non-technical audiences, including higher management, sales and marketing team, internal and external customers.

Responsibilities may be quite diverse of a nonexempt technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications

The candidate must bepursuing a Master’s Degree or PhD Degree in Computer Science, Electrical Engineering or any related fields (Statistics, Applied Math) and 3+ months experience in:

  • Scripting and programming skills with either Python, Rust or Java
  • DL, ML frameworks like PyTorch and Tensorflow
  • Model development and validation
  • Software life cycle, including documentation, Agile process, quality verification plan and release process
  • Software development for AI/M and data engineering domain
  • Deep learning approaches and models, recommendation systems

To apply for this job please visit jobs.intel.com.

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